diff --git a/riptable/rt_dataset.py b/riptable/rt_dataset.py
index f2f530fa..1a165385 100644
--- a/riptable/rt_dataset.py
+++ b/riptable/rt_dataset.py
@@ -1136,13 +1136,6 @@ def __le__(self, lhs):
     def __lt__(self, lhs):
         return self._dataset_compare_check('__lt__', lhs)
 
-    eq = __eq__
-    ne = __ne__
-    ge = __ge__
-    le = __le__
-    gt = __gt__
-    lt = __lt__
-
     # ------------------------------------------------------------
     def __len__(self):
         # Debated October 2019
@@ -2270,14 +2263,6 @@ def abs(self) -> 'Dataset':
         """
         return abs(self)
 
-    add = __add__
-    sub = __sub__
-    mul = __mul__
-    div = __truediv__
-    floordiv = __floordiv__
-    pow = __pow__
-    mod = __mod__
-
     @property
     def dtypes(self) -> Mapping[str, np.dtype]:
         """
diff --git a/riptable/rt_fastarray.py b/riptable/rt_fastarray.py
index 43e2d987..feb772f3 100644
--- a/riptable/rt_fastarray.py
+++ b/riptable/rt_fastarray.py
@@ -1434,21 +1434,6 @@ def __gt__(self, other):  return self._compare_check(super().__gt__,other)
     def __le__(self, other):  return self._compare_check(super().__le__,other)
     def __lt__(self, other):  return self._compare_check(super().__lt__,other)
 
-    eq = __eq__
-    ne = __ne__
-    ge = __ge__
-    le = __le__
-    gt = __gt__
-    lt = __lt__
-
-    add = np.ndarray.__add__
-    sub = np.ndarray.__sub__
-    mul = np.ndarray.__mul__
-    div = np.ndarray.__truediv__
-    floordiv = np.ndarray.__floordiv__
-    pow = np.ndarray.__pow__
-    mod = np.ndarray.__mod__
-
     #---------------------------------------------------------------------------
     def str_append(self, other):
         if self.dtype.num == other.dtype.num:
diff --git a/riptable/tests/test_dataset.py b/riptable/tests/test_dataset.py
index 7298d41f..680ff830 100644
--- a/riptable/tests/test_dataset.py
+++ b/riptable/tests/test_dataset.py
@@ -2,10 +2,8 @@
 import unittest
 import re
 import keyword
-import operator
 import pandas as pd
 
-
 from collections import namedtuple
 import numpy as np
 from numpy.testing import assert_array_equal, assert_array_almost_equal
@@ -2194,38 +2192,6 @@ def test_overwrite_column_with_scalar(self) -> None:
             assert_array_equal(col, scalar_value)
 
 
-@pytest.mark.parametrize('op_name', [
-    'eq',
-    'ne',
-    'ge',
-    'le',
-    'gt',
-    'lt',
-    'add',
-    'sub',
-    'mul',
-    'floordiv',
-])
-def test_operator_methods(op_name):
-    ds = TestDataset.get_arith_dataset()
-    result = getattr(ds, op_name)(ds)
-    expected = getattr(operator, op_name)(ds, ds)
-    assert (result == expected).all(axis=None)
-
-
-def test_pow_methods():
-    ds = TestDataset.get_arith_dataset()
-    result = ds.pow(2)
-    expected = ds ** 2
-    assert (result == expected).all(axis=None)
-
-
-def test_mod_methods():
-    ds = TestDataset.get_arith_dataset()
-    result = ds.mod(2)
-    expected = ds % 2
-    assert (result == expected).all(axis=None)
-
 
 @pytest.mark.parametrize('categorical', get_all_categorical_data())
 def test_dataset_to_dataframe_roundtripping(categorical):
diff --git a/riptable/tests/test_fastarray.py b/riptable/tests/test_fastarray.py
index a99e04af..19bc6d98 100644
--- a/riptable/tests/test_fastarray.py
+++ b/riptable/tests/test_fastarray.py
@@ -1678,33 +1678,5 @@ def test_ctor_from_str_obj_array_with_None(as_unicode: bool) -> None:
     assert_array_equal(none_results, rt.full(none_results.shape, result.inv, dtype=none_results.dtype))
 
 
-@pytest.mark.parametrize('op_name', [
-    'eq',
-    'ne',
-    'ge',
-    'le',
-    'gt',
-    'lt',
-    'add',
-    'sub',
-    'mul',
-    'pow',
-    'floordiv',
-    'mod',
-])
-def test_operator_methods(op_name):
-    arr = rt.arange(5)
-    result = getattr(arr, op_name)(2)
-    expected = getattr(operator, op_name)(arr, 2)
-    assert_array_equal(result, expected)
-
-
-def test_div_method():
-    arr = rt.arange(5)
-    result = arr.div(2)
-    expected = arr / 2
-    assert_array_equal(result, expected)
-
-
 if __name__ == "__main__":
     tester = unittest.main()